Planning, scheduling and real time optimization (RTO) are currently implemented
by using different types of models, which causes discrepancies between their results. This
work presents a single model of a crude distillation unit (preflash, atmospheric, and
vacuum towers) suitable for all of these applications, thereby eliminating discrepancies
between models used in these decision processes. Hybrid model consists of volumetric and
energy balances and partial least squares model for predicting product properties. Product
TBP curves are predicted from feed TBP curve, operating conditions (flows, pumparound
heat duties, furnace coil outlet temperatures). Simulated plant data and model testing have
been based on a rigorous distillation model, with 0.5% RMSE over a wide range of
conditions. Unlike previous works, we do not assume that (i) midpoint of a product TBP
curve lies on the crude distillation curve, and (ii) midpoint between the back-end and
front-end of the adjacent products lies on the crude distillation curves, since these
assumptions do not hold in practice. Associated properties (e.g. gravity, sulfur) are
computed for each product based on its distillation curve. Model structure makes it
particularly amenable for development from plant data. High model accuracy and its
linearity make it suitable for optimization of production plans or schedules. / Thesis / Master of Applied Science (MASc)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/18072 |
| Date | 11 1900 |
| Creators | Fu, Gang |
| Contributors | Mahalec, Vladimir, Chemical Engineering |
| Source Sets | McMaster University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
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